Abstract
In this study, 11 different growth curve models (Logistic, Gompertz, McNally, Schnute, Richards, Bertalanffy, Cubic, Cubic Piecewise, Wilmink, Wood, and Log-Logistic) were compared using live weight data of Japanese quails (Coturnix japonica). The predictive performance of the models was evaluated using statistical metrics such as mean square error, corrected coefficient of determination, accuracy and bias factors, Durbin-Watson statistics, Akaike information criterion, corrected Akaike information criterion, and Bayesian information criterion. The analyses determined that the Logistic model best represented the live weight data. The Logistic model provided advantages in terms of high fit, low error, and parametric simplicity. The results demonstrate that the Logistic model can be used in practical breeding applications in modeling the growth processes of Japanese quails (Coturnix japonica). Application of extended modeling approaches with different genotypes and individual data is recommended in future studies.
Ethical Statement
Ethics committee approval was not required for this study because there was no study on animals or humans.
References
- Ağyar O. 2024. Comparative analysis of the equations used in modeling individual lactation curves in anatolian water buffalo (bubalus bubalis). Black Sea J Agric, 7(6): 671-678.
- Başar EK, Narinç D. 2023. Genetic parameter estimates of growth curve and feed efficiency traits in japanese quail. Animals, 13(11): 1765-1772.
- Beiki H, Pakdel A, Moradi Shahrbabak M, Mehrban H. 2013. Evaluation of growth functions on Japanese quail lines. J Poult Sci, 50(1): 20–27.
- Çetenak T, Gök İ, Yavuz E, Şahin M. 2024. Statistical models and evaluation criteria used in poultry farming. BSJ Agri, 7(6): 710-719. https://doi.org/10.47115/bsagriculture.1532659
- Daşkiran G, Koncagül S, Bingol M. 2010. Growth characteristics of indigenous Norduz female and male lambs. J Agri Sci, 16: 62-69.
- Haqani MI, Kawamura K, Takenouchi A, Kabir MH. 2020. A growth performance and nonlinear growth curve functions of large and normal sized Japanese quail (Coturnix japonica). J Poult Sci, 58(2): 88–96.
- Kaplan S, Gürcan EK. 2018. Comparison of growth curves using non-linear regression function in Japanese quail. J Appl Anim Res. 46(1): 112-117.
- Şahin A, Ulutaş Z, Karadavut U, Yildirim A, Arslan S. 2014. Anadolu mandasi malaklarinda büyüme eğrisinin çeşitli doğrusal olmayan modeller kullanilarak karşilaştirilmasi. Kafkas Üniv Vet Fak Derg, 20(3): 357-362.
- Şahin M, Efe E. 2010. Kübik spline regresyonlarin süt siğirciliğinda laktasyon eğrilerinin modellenmesinde kullanimi. KSU J Nat Sci, 13(2): 17-22.
- Sezer M, Tarhan S. 2005. Comparison of three non-linear models for describing Japanese quail growth curve. J Anim Feed Sci, 14(2): 317–326.
- Tırınk C, Alkan S, Kaşko Arici Y. 2022. The Use of some nonlinear functions to explain growth in Japanese quails with multivariate adaptive regression splines algorithm. Turk J Agric Food Sci Tech, 10(10): 1807-1813.
- Tolun T, Gök İ, Şahin M. 2024. Modeling of some egg characteristics in henna partridges. BSJ Agri, 7(6): 729-742. https://doi.org/10.47115/bsagriculture.1555738
- Tolun T, Yavuz E, Şahin M, Gök İ. 2023. Modeling egg curves in partridges. BSJ Agri, 6(1): 21-25. https://doi.org/10.47115/bsagriculture.1139272
- Üçkardeş F, Narinç D. 2014. An application of modified Logistic and Gompertz growth models in Japanese quail. Indian J Anim Sci. 84(8): 903-907.
- Yağanoğlu AM. 2022. A comparative study of the nonlinear methods for estimating body weight based on body measurements in diff erent sample sizes in morkaraman sheep. Kafkas Üniv Vet Fak Derg, 28 (2): 261-265.
- Yalçinöz E, Şahin M. 2020. Yumurtaci tavuklarda yumurta verim eğrilerinin modellenmesi. KSÜ Tar Doğa Derg, 23(5): 1373-1378.
Abstract
In this study, 11 different growth curve models (Logistic, Gompertz, McNally, Schnute, Richards, Bertalanffy, Cubic, Cubic Piecewise, Wilmink, Wood, and Log-Logistic) were compared using live weight data of Japanese quails (Coturnix japonica). The predictive performance of the models was evaluated using statistical metrics such as mean square error, corrected coefficient of determination, accuracy and bias factors, Durbin-Watson statistics, Akaike information criterion, corrected Akaike information criterion, and Bayesian information criterion. The analyses determined that the Logistic model best represented the live weight data. The Logistic model provided advantages in terms of high fit, low error, and parametric simplicity. The results demonstrate that the Logistic model can be used in practical breeding applications in modeling the growth processes of Japanese quails (Coturnix japonica). Application of extended modeling approaches with different genotypes and individual data is recommended in future studies.
Ethical Statement
Ethics committee approval was not required for this study because there was no study on animals or humans.
References
- Ağyar O. 2024. Comparative analysis of the equations used in modeling individual lactation curves in anatolian water buffalo (bubalus bubalis). Black Sea J Agric, 7(6): 671-678.
- Başar EK, Narinç D. 2023. Genetic parameter estimates of growth curve and feed efficiency traits in japanese quail. Animals, 13(11): 1765-1772.
- Beiki H, Pakdel A, Moradi Shahrbabak M, Mehrban H. 2013. Evaluation of growth functions on Japanese quail lines. J Poult Sci, 50(1): 20–27.
- Çetenak T, Gök İ, Yavuz E, Şahin M. 2024. Statistical models and evaluation criteria used in poultry farming. BSJ Agri, 7(6): 710-719. https://doi.org/10.47115/bsagriculture.1532659
- Daşkiran G, Koncagül S, Bingol M. 2010. Growth characteristics of indigenous Norduz female and male lambs. J Agri Sci, 16: 62-69.
- Haqani MI, Kawamura K, Takenouchi A, Kabir MH. 2020. A growth performance and nonlinear growth curve functions of large and normal sized Japanese quail (Coturnix japonica). J Poult Sci, 58(2): 88–96.
- Kaplan S, Gürcan EK. 2018. Comparison of growth curves using non-linear regression function in Japanese quail. J Appl Anim Res. 46(1): 112-117.
- Şahin A, Ulutaş Z, Karadavut U, Yildirim A, Arslan S. 2014. Anadolu mandasi malaklarinda büyüme eğrisinin çeşitli doğrusal olmayan modeller kullanilarak karşilaştirilmasi. Kafkas Üniv Vet Fak Derg, 20(3): 357-362.
- Şahin M, Efe E. 2010. Kübik spline regresyonlarin süt siğirciliğinda laktasyon eğrilerinin modellenmesinde kullanimi. KSU J Nat Sci, 13(2): 17-22.
- Sezer M, Tarhan S. 2005. Comparison of three non-linear models for describing Japanese quail growth curve. J Anim Feed Sci, 14(2): 317–326.
- Tırınk C, Alkan S, Kaşko Arici Y. 2022. The Use of some nonlinear functions to explain growth in Japanese quails with multivariate adaptive regression splines algorithm. Turk J Agric Food Sci Tech, 10(10): 1807-1813.
- Tolun T, Gök İ, Şahin M. 2024. Modeling of some egg characteristics in henna partridges. BSJ Agri, 7(6): 729-742. https://doi.org/10.47115/bsagriculture.1555738
- Tolun T, Yavuz E, Şahin M, Gök İ. 2023. Modeling egg curves in partridges. BSJ Agri, 6(1): 21-25. https://doi.org/10.47115/bsagriculture.1139272
- Üçkardeş F, Narinç D. 2014. An application of modified Logistic and Gompertz growth models in Japanese quail. Indian J Anim Sci. 84(8): 903-907.
- Yağanoğlu AM. 2022. A comparative study of the nonlinear methods for estimating body weight based on body measurements in diff erent sample sizes in morkaraman sheep. Kafkas Üniv Vet Fak Derg, 28 (2): 261-265.
- Yalçinöz E, Şahin M. 2020. Yumurtaci tavuklarda yumurta verim eğrilerinin modellenmesi. KSÜ Tar Doğa Derg, 23(5): 1373-1378.
Details
| Primary Language | English |
|---|---|
| Subjects | Agricultural Engineering (Other) |
| Journal Section | Research Articles |
| Authors | |
| Early Pub Date | November 14, 2025 |
| Publication Date | November 15, 2025 |
| Submission Date | August 19, 2025 |
| Acceptance Date | October 9, 2025 |
| Published in Issue | Year 2025 Volume: 8 Issue: 6 |
